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Predictive Modeling Actuarial Analyst

Presidential Innovation Fellows

Presidential Innovation Fellows

IT
United States
Posted on Dec 12, 2024

Job Summary:

We are seeking a Predictive Modeling Actuarial Analyst to join our Product Team at a high-growth personal homeowners insurance company. As a Predictive Modeling Actuarial Analyst at Bamboo Insurance, you will play a key role in building, testing, and deploying various predictive models for all aspects of insurance. You will work collaboratively with cross-functional teams to ensure that the models are sound and actionable. This is an exciting opportunity for an actuarial/modeling professional looking to make a significant impact in the property and casualty insurance industry.

Duties/Responsibilities:

  • Develop, review, and refine models (e.g. for frequency prediction, underwriting acceptance, and customer lifetime value) for homeowners insurance products in California and Texas.
  • Maintain models to ensure high accuracy, stability, and performance.
  • Work closely with other functional areas such as actuarial pricing, underwriting, claims, sales, operations to identify areas where predictive analytics can solve business problems or create greater efficiencies.
  • Augment traditional actuarial analysis with innovative tools and techniques where appropriate.
  • Present findings and recommendations to senior leadership and stakeholders.

Required Skills/Abilities:

  • Excellent analytical, critical thinking and problem-solving skills with the ability to effectively resolve complex situations and issues. Deals well with ambiguity.
  • Excellent communication skills to convey complex concepts to non-technical stakeholders.
  • Ability to lead projects independently, manage multiple priorities, and deliver high-quality work under tight deadlines.

Required Education and Experience:

  • Bachelor's degree in data science, mathematics, actuarial science, statistics, or related quantitative field.
  • A minimum of two years of experience in an actuarial role, with a focus on predictive modeling or data science
  • Strong proficiency in programming languages such as R or Python

Preferred Requirements:

  • Familiarity with data visualization tools like Tableau or Power BI.
  • Prior experience working with personal homeowners insurance products.

Physical Requirements:

  • Prolonged periods of sitting at a desk and working on a computer.

Salary: Starting at $90,000 annually. Candidate's skills, experience and abilities will be taken into consideration for final offer.